The interview was a pleasant and easygoing experience, creating a comfortable atmosphere that felt more like a discussion than a formal evaluation. The questions focused mainly on Data Science and Data Engineering, covering both theoretical knowledge and practical application. Topics included data pipelines, ETL processes, data modeling, machine learning basics, and handling large datasets. The interviewer was friendly and encouraging, which helped reduce any pressure. They seemed genuinely interested in my past experiences and how I approached real-world problems. Overall, it was a balanced conversation that assessed technical skills while also valuing communication and problem-solving abilities in data-driven environments.